Lead Software Engineer: Customer Trust Assessment Platform

Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking in the Fraud Technology team, you will be leading talented individuals to build NextGen orchestration platform using advanced AI capabilities in Java & AWS.

Job responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts and 5+ years of applied experience in software development

8+ years of experience designing, developing, debugging, and maintaining applications in a large corporate environment.

Hands-on practical experience delivering system design, application development, testing, and operational stability

Hands-on experience building AI Agents and leveraging AI Powered tools, RAG pipelines and LLM API's.

Proficient in coding in one or more programming language(s): Java

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Strong hands-on experience with Java, Spring, and Spring Boot

Experience designing and implementing REST APIs

Strong AWS experience, including ECS and Lambda

Strong AWS networking and core services knowledge (ALB, NLB, GWLB; VPC, subnets, security groups, IAM, CloudWatch)

Good understanding of agile methodologies, CI/CD, application resiliency, and security for internet-facing APIs (OAuth 2.0/OIDC, JWT, TLS/mTLS, rate limiting).

Preferred qualifications, capabilities, and skills

Familiarity with middleware technologies

Hands on AWS Services experience with ECS, Lambda Aurora Postgres

Exposure to cloud technologies

Cloud Certification

Anthropic Claude Code experience